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基于相邻互相关函数-参数化中心频率-调频率分布-Keystone变换的无源雷达机动目标相参积累方法

赵勇胜 胡德秀 刘智鑫 赵拥军 赵闯

赵勇胜, 胡德秀, 刘智鑫, 赵拥军, 赵闯. 基于相邻互相关函数-参数化中心频率-调频率分布-Keystone变换的无源雷达机动目标相参积累方法[J]. 电子与信息学报, 2019, 41(10): 2358-2365. doi: 10.11999/JEIT180858
引用本文: 赵勇胜, 胡德秀, 刘智鑫, 赵拥军, 赵闯. 基于相邻互相关函数-参数化中心频率-调频率分布-Keystone变换的无源雷达机动目标相参积累方法[J]. 电子与信息学报, 2019, 41(10): 2358-2365. doi: 10.11999/JEIT180858
Yongsheng ZHAO, Dexiu HU, Zhixin LIU, Yongjun ZHAO, Chuang ZHAO. Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2358-2365. doi: 10.11999/JEIT180858
Citation: Yongsheng ZHAO, Dexiu HU, Zhixin LIU, Yongjun ZHAO, Chuang ZHAO. Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2358-2365. doi: 10.11999/JEIT180858

基于相邻互相关函数-参数化中心频率-调频率分布-Keystone变换的无源雷达机动目标相参积累方法

doi: 10.11999/JEIT180858
基金项目: 国家自然科学基金(61703433)
详细信息
    作者简介:

    赵勇胜:男,1990年生,博士生,研究方向为无源雷达信号处理

    胡德秀:男,1983年生,讲师,研究方向为无源定位、信号分析与处理

    刘智鑫:男,1991年生,博士生,研究方向为辐射源定位、电子侦察等

    赵拥军:男,1964年生,教授、博士生导师,研究方向为雷达信号处理

    赵闯:男,1978年生,副教授,研究方向为雷达信号处理

    通讯作者:

    胡德秀 paper_hdx@126.com

  • 中图分类号: TN971

Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar

Funds: The National Natural Science Foundation of China (61703433)
  • 摘要: 延长积累时间可以有效提高无源雷达的目标探测能力,但是对于高速机动目标,其速度、加速度、第二加速度等因素导致现有的检测算法在积累过程中发生距离徙动(RM)和多普勒频率徙动(DFM),使得目标检测性能恶化。该文针对无源雷达中变加速运动目标的长时间相参积累问题,提出一种基于相邻互相关函数(ACCF)-参数化中心频率-调频率分布(PCFCRD)-Keystone变换(KT)的相参积累算法(ACCF-PCFCRD-KT)。首先给出无源雷达中变加速运动目标的回波模型,分析了目标速度、加速度和第二加速度对相参积累的影响。针对目标第二加速度引起的多普勒频率弯曲,采用ACCF降低了距离和多普勒频率徙动的阶数,而后利用PCFCRD估计出目标加速度和第二加速度参数,在补偿了目标加速度和第二加速度引起的2次和3次徙动后,利用KT校正目标速度引起的线性徙动,并实现目标回波的积累。仿真结果表明,该算法可有效补偿无源雷达中目标运动导致的RM和DFM,对变加速机动目标的积累效果显著优于现有算法。
  • 图  1  双基地无源雷达目标运动示意图

    图  2  本文算法对回波积累效果

    图  3  不同算法回波积累效果比较

    图  4  不同算法的检测性能曲线(${P_{\rm f}} = {10^{ - 4}}$)

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出版历程
  • 收稿日期:  2018-09-03
  • 修回日期:  2019-08-01
  • 网络出版日期:  2019-08-21
  • 刊出日期:  2019-10-01

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